2019 Environmental, Social and Governance Report
Extracted ESG KPIs
KPIs are organized by ESG aspects.
The types of emissions and respective emissions data.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Facility diesel emissions | ton | 3.48 | 67 |
| Liquefied petroleum gas emissions | ton | 7.52 | 67 |
| NOx emissions | kg | 304.27 | 67 |
| Particulate emissions | kg | 28.31 | 67 |
| Sulfur oxide emissions | kg | 0.58 | 67 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Bus fuel consumption emissions | ton | 86.1 | 67 |
| Direct emissions (Scope 1) | ton | 133.39 | 67 |
| Greenhouse gas emissions per square meter of floor area (Scope 1 and Scope 2) | ton/m² | 0.1499 | 67 |
| Indirect emissions (Scope 2) | ton | 3438.53 | 67 |
| Natural gas emissions | ton | 36.29 | 67 |
| Per-capita greenhouse gas emissions (Scope 1 and Scope 2) | ton/person | 6.3671 | 67 |
| Total greenhouse gas emissions (Scope 1 and Scope 2) | ton | 3571.92 | 67 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Hazardous waste | ton | 5.98 | 67 |
| Hazardous waste per capita | ton/person | 0.0107 | 67 |
| Hazardous waste per square meter of floor area | ton/m² | 0.0003 | 67 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Non-hazardous waste | ton | 41.72 | 67 |
| Non-hazardous waste per capita | ton/person | 0.0744 | 67 |
| Non-hazardous waste per square meter of floor area | ton/m² | 0.0018 | 67 |
| Office paper consumption per capita | ton/person | 0.0141 | 66 |
| Office paper consumption per square meter of floor area | ton/m² | 0.0003 | 66 |
Description of emissions target(s) set and steps taken to achieve them.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Consumption of paper by head office | Ton | 5.32 | 7.49 | 7.93 | 9 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Bus fuel consumption | MWh | 344.86 | 66 | ||
| Consumption of electricity purchased by head office | MWh | 944.05 | 4214.94 | 4109.63 | 9 |
| Direct energy consumption | MWh | 570.74 | 66 | ||
| Emissions of purchased electricity | ton | 3438.53 | 67 | ||
| Energy consumption per square meter of floor area | MWh/m² | 0.1964 | 66 | ||
| Facility diesel | MWh | 13.04 | 66 | ||
| Indirect energy consumption | MWh | 4109.63 | 66 | ||
| Liquefied petroleum gas | MWh | 33.12 | 66 | ||
| Natural gas | MWh | 179.72 | 66 | ||
| Purchased electricity | MWh | 4109.63 | 66 | ||
| Total energy consumption | MWh | 4680.37 | 66 | ||
| Total energy consumption per capita | MWh/person | 8.3429 | 66 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Consumption of water by head office | Ton | 7425 | 7212 | 11339 | 9 |
| Office water consumption | ton | 11339 | 66 | ||
| Office water consumption per square meter of floor area | ton/m² | 0.4758 | 66 | ||
| Per-capita office water consumption | ton/person | 20.2121 | 66 |
Description of energy use efficiency target(s) set and steps taken to achieve them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Capital saving rate | % | 15.29 | 69 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Office paper consumption | ton | 7.93 | 66 |
Description of the significant impacts of activities on the environment and natural resources and the actions taken to manage them.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Number of employees participating in environmental protection public welfare activities | 97 | 69 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Allowance coverage ratio | % | 192.77 | 243.72 | 324.95 | 9 |
| Growth rate of 'double increases and controls' loans is higher than that of all loans of the whole Bank | % | 16.95 | 28.35 | 38 | |
| Number of employees with a bachelor's degree | employees | 3666 | 73 | ||
| Number of employees with a master's degree and above | employees | 231 | 73 | ||
| Number of employees with other academic qualifications | employees | 923 | 73 | ||
| Number of female employees | employees | 2992 | 73 | ||
| Number of head office staff | employees | 561 | 73 | ||
| Number of male employees | employees | 1828 | 73 | ||
| Number of minority employees | Person | 7 | 147 | 1639 | 9 |
| Number of people aged 20–30 | employees | 1601 | 73 | ||
| Number of people aged 30–40 | employees | 1696 | 73 | ||
| Number of people aged 40–50 | employees | 1110 | 73 | ||
| Number of people aged 50 and above | employees | 413 | 73 | ||
| Operating revenue | RMB100 million | 86.25 | 87.7 | 107.06 | 9 |
| Proportion of female employees | % | 52.91 | 53.25 | 62.07 | 9 |
| Return on average equity | % | 12.07 | 12.36 | 12.01 | 9 |
| Return on average total assets | % | 0.88 | 0.92 | 0.95 | 9 |
| Total assets | RMB100 million | 2863.68 | 3412.03 | 4093.89 | 9 |
| Total employees | Person | 4292 | 4483 | 4820 | 9 |
| Total loan balance in severe poverty areas | RMB100 million | 89.76 | 115.97 | 33 | |
| Total loans and advances for customers | RMB100 million | 881.32 | 1401.41 | 1798.68 | 9 |
| Total loans for 121 major industries development projects | RMB billion | 89.95 | 33 | ||
| Total number of employees | employees | 4820 | 73 |
The average training hours completed per employee by gender and employee category.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Total investment in staff training | RMB10000 | 1830 | 1098 | 1285 | 9 |
Number of suppliers by geographical region.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| 'Double increases and controls' loan balance | RMB100 million | 80.66 | 126.42 | 38 | |
| 'Inclusive finance' loan balance | RMB100 million | 93.08 | 154.53 | 38 | |
| Accumulated 'Qian Wei Dai' loans | RMB billion | 1.712 | 38 | ||
| Accumulated loans in '4321' guarantee system | RMB billion | 6.839 | 38 | ||
| Balance of targeted-poverty alleviation loans | RMB100 million | 256.75 | 295.63 | 33 | |
| Financing balance in 66 poverty-stricken counties in Guizhou province (including 34 disadvantaged counties withdrawn that year) | RMB billion | 899.899 | 33 | ||
| Guaranteed companies admitted to '4321' guarantee system | 103 | 38 | |||
| Number of branch suppliers in Guiyang | 38 | 69 | |||
| Number of branch suppliers outside Guiyang | 135 | 69 | |||
| Number of branches in Guiyang City | employees | 3319 | 73 | ||
| Number of branches outside Guiyang City | employees | 940 | 73 | ||
| Number of business outlets | 209 | 213 | 217 | 9 | |
| Number of business outlets with wheelchair access | 97 | 137 | 9 | ||
| Number of suppliers to the head office | 173 | 69 | |||
| Procurement budget amount cut by | RMB million | 104 | 69 | ||
| Procurement budget amount totaled | RMB million | 680 | 69 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Indicator | Unit | 2019 | Report Pages |
|---|---|---|---|
| Centralized procurement projects totaled | units | 121 | 69 |
| Supplier review coverage rate | % | 100 | 69 |
Number of products and service related complaints received and how they are dealt with.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Customer satisfaction rate | % | 99.23 | 99.76 | 99.59 | 9 |
| Number of transactions in '4321' guarantee system | loans | 2084 | 38 | ||
| Online financial transactions | % | 92.65 | 96.24 | 97.41 | 9 |
Number of concluded legal cases regarding corrupt practices brought against the issuer or its employees during the reporting period and the outcomes of the cases.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Capital Adequacy Ratio | % | 11.62 | 12.83 | 14.45 | 9 |
Description of preventive measures and whistle-blowing procedures, and how they are implemented and monitored.
| Indicator | Unit | 2018 | 2019 | Report Pages |
|---|---|---|---|---|
| Balance of '4321' guarantee system | RMB billion | 5.352 | 38 | |
| Increase rate in loan balance of small and micro enterprises | % | 26.65 | 38 | |
| Increase speed for number of 'double increases and controls' loans | % | 75.96 | 56.73 | 38 |
| Worth credit of '4321' guarantee system | RMB billion | 17.235 | 38 |
Description of anti-corruption training provided to directors and staff.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Number of anti-money laundering training sessions | Times | 8 | 10 | 4 | 9 |
| Number of people attending the training in anti-money laundering | Person | 4272 | 1338 | 2200 | 9 |
Focus areas of contribution (e.g. education, environmental concerns, labour needs, health, culture, sport).
| Indicator | Unit | 2016 | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|---|
| Basic earnings per share | RMB | 0.23 | 0.24 | 0.29 | 9 | |
| Full coverage of all Guizhou counties | counties | 88 | 11 | |||
| Green loan balance | RMB100 million | 64.38 | 127.06 | 181.83 | 9 | |
| Increase in loan balance of small and micro enterprises from beginning of year | RMB billion | 17.548 | 38 | |||
| Loan balance of small and micro enterprises | RMB billion | 83.385 | 38 | |||
| Number of 'Qian Wei Dai' loan transactions | loans | 991 | 38 | |||
| Number of 'double increases and controls' loan increases compared with beginning of year | RMB100 million | 34.82 | 45.76 | 38 | ||
| Number of 'double increases' loan increases compared with beginning of year | Household | 355 | 1378 | 38 | ||
| Number of 'double increases' loans | Household | 10574 | 11952 | 38 | ||
| Number of 'inclusive finance' loan increases compared with beginning of year | RMB100 million | 42.68 | 61.45 | 38 | ||
| Proportion of loan balance in severely impoverished areas to total loan | % | 6.38 | 6.42 | 33 | ||
| Total investment in 169 poverty alleviation industry funds and green industry poverty alleviation projects | RMB billion | 15.689 | 33 |
Resources contributed (e.g. money or time) to the focus area.
| Indicator | Unit | 2017 | 2018 | 2019 | Report Pages |
|---|---|---|---|---|---|
| Activity duration of volunteers | Hour | 10153 | 11307 | 13741 | 9 |
| Amount of investment in public welfare for environmental protection | RMB | 3000 | 69 | ||
| Average loan per poor county in Guizhou province | RMB billion | 1.09 | 33 | ||
| Industrial poverty alleviation loan balance | RMB100 million | 118.23 | 138.78 | 33 | |
| Number of farmers and people lifted out of poverty by poverty alleviation industry sub-fund | persons | 100000 | 33 | ||
| Number of organized and participated environmental protection public welfare activities | 8 | 69 | |||
| Number of volunteers | Person | 1741 | 9 | ||
| Poverty alleviation through infrastructure – rural highway group’s Zuzutong loan amount | RMB100 million | 90.26 | 34.67 | 33 | |
| Poverty alleviation through infrastructure – rural highway group’s Zuzutong loan balance | RMB100 million | 137.32 | 171.77 | 33 | |
| Total funds for relocation settlement and agency supervision for poverty alleviation | RMB100 million | 102 | 117 | 33 |
The types of emissions and respective emissions data.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Airborne Particulate Matter (PM) Emissions | kg | 28.31 |
| NOₓ Emissions | kg | 304.27 |
| SOₓ Emissions | kg | 0.58 |
Direct (Scope 1) and energy indirect (Scope 2) greenhouse gas emissions (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Direct GHG Emissions (Scope 1) | ton | 133.39 |
| GHG Emissions from Natural Gas | ton | 36.29 |
| Indirect Energy Emissions (Scope 2) | ton | 3438.53 |
| Mobile Combustion Emissions | ton | 86.1 |
| Total GHG Emissions | ton | 3571.92 |
| Total GHG Emissions Intensity (By Area) | ton/m² | 0.1499 |
| Total GHG Emissions Intensity (By Employee) | ton/person | 6.3671 |
Total hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Total Hazardous Waste | ton | 5.98 |
| Total Hazardous Waste Intensity (By Area) | ton/m² | 0.0003 |
| Total Hazardous Waste Intensity (By Employee) | ton/person | 0.0107 |
Total non-hazardous waste produced (in tonnes) and, where appropriate, intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Non-Hazardous Waste (Office Waste) | ton | 41.72 |
| Total Non-Hazardous Waste Intensity (By Area) | ton/m² | 0.0018 |
| Total Non-Hazardous Waste Intensity (By Employee) | ton/person | 0.0744 |
Direct and/or indirect energy consumption by type (e.g. electricity, gas or oil) in total (kWh in '000s) and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Bus Fuel Consumption | MWh | 344.86 | ||
| Diesel Fuel Consumption | MWh | 13.04 | ||
| Energy Consumption Intensity (By Area) | MWh/m² | 0.1964 | ||
| Energy Consumption Intensity (By Employee) | MWh/person | 8.3429 | ||
| LPG Consumption | MWh | 33.12 | ||
| Natural Gas Consumption | MWh | 179.72 | ||
| Purchased Electricity | MWh | 944.05 | 4214.94 | 4109.63 |
| Total Direct Energy Consumption | MWh | 570.74 | ||
| Total Energy Consumption | MWh | 4680.37 | ||
| Total Indirect Energy Consumption | MWh | 4109.63 |
Water consumption in total and intensity (e.g. per unit of production volume, per facility).
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Water Consumption in Office | ton | 7425 | 7212 | 11339 |
Total packaging material used for finished products (in tonnes) and, if applicable, with reference to per unit produced.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Packaging Material Consumption (Paper) | ton | 7.93 |
Total workforce by gender, employment type (for example, full- or part-time), age group and geographical region.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Bachelor's Degree Employees | employees | 3666 | ||
| Number of Employees Aged 30-50 | employees | 2806 | ||
| Number of Employees Aged Above 50 | employees | 413 | ||
| Number of Employees Aged Below 30 | employees | 1601 | ||
| Number of Female Employees | employees | 2992 | ||
| Number of Male Employees | employees | 1828 | ||
| Number of Master's Degree Employees | employees | 231 | ||
| Number of Total Employees | Person | 4292 | 4483 | 4820 |
| Percentage of Female Employees | % | 52.91 | 53.25 | 62.07 |
Number of suppliers by geographical region.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Number of Local Suppliers | 38 | |
| Number of Total Suppliers | 173 |
Description of practices relating to engaging suppliers, number of suppliers where the practices are being implemented, and how they are implemented and monitored.
| Standard Indicator | Unit | 2019 |
|---|---|---|
| Percentage of Critical Suppliers Covered by CSR Audit | % | 100 |
Description of anti-corruption training provided to directors and staff.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Number of Anti-corruption Training Session | Times | 8 | 10 | 4 |
| Number of Attendance for Anti-corruption Training | Person | 4272 | 1338 | 2200 |
Resources contributed (e.g. money or time) to the focus area.
| Standard Indicator | Unit | 2017 | 2018 | 2019 |
|---|---|---|---|---|
| Investment in Environmental Protection | RMB | 3000 | ||
| Number of Volunteers among Employees | Person | 1741 | ||
| Total Volunteer Service Hours | Hour | 10153 | 11307 | 13741 |